* SEO: add title and description to all integration pages
All 17 integration docs pages were missing title and description
frontmatter, causing Docusaurus to generate unhelpful titles like
"OpenClaw | Hindsight" and pull body text as meta descriptions.
- Add keyword-rich title and description frontmatter to all integration
pages in both docs/ (current) and versioned_docs/version-0.4/
- Add scripts/check-integration-seo.mjs to enforce title + description
on all future integration pages
- Wire the check into the build script so it runs locally and in CI
* Fix missing frontmatter on docs/sdks/integrations/openclaw.md
* Regenerate docs skill after integration page SEO updates
* fix(llamaindex): use uuid for document_id and sync version metadata
- Replace timestamp-based document_id with uuid4 hex to prevent
collisions on rapid retains (timestamp_ms can duplicate in tight loops)
- Sync __version__ in __init__.py to match pyproject.toml (0.1.2)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(docs): pass memory to run() instead of ReActAgent constructor
LlamaIndex 0.14.x ReActAgent does not accept a memory parameter in
its constructor — it's silently dropped via **kwargs. Memory must be
passed to agent.run(memory=...) where AgentWorkflow picks it up.
Also fixes the undefined `tools` variable (now `tools=[]`).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(llamaindex): strip ReAct reasoning traces from retained assistant messages
HindsightMemory.put/aput now extracts only the final Answer: text from
assistant messages containing ReAct reasoning (Thought:/Action:/Observation:
prefixes), preventing internal reasoning traces from polluting long-term memory.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(llamaindex): fix docstring example to pass memory to run()
The HindsightMemory class docstring showed the broken pattern of passing
memory= to the ReActAgent constructor, which silently drops it. Updated
to show the correct pattern: pass memory to agent.run().
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
The automatic memory example referenced an undefined `tools` variable.
Since HindsightMemory handles retain/recall transparently, no tools
are needed — use an empty list.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* refactor(llamaindex): merge two packages into single hindsight-llamaindex
Merge `llama-index-tools-hindsight` and `llama-index-memory-hindsight` into
a single `hindsight-llamaindex` package following our naming convention.
- Rename package to `hindsight-llamaindex` (Python module: `hindsight_llamaindex`)
- Move HindsightToolSpec and HindsightMemory into the same package
- Delete `llamaindex-memory/` directory
- Add CI test job for llamaindex integration
- Update docs, blog post, and integrations.json
* fix(blog): update llamaindex blog post for merged package
- Move date to 2026-03-30
- Add HindsightMemory (automatic BaseMemory) pattern
- Fix "bank must exist first" pitfall — mission auto-creates
- Align all code examples with docs page
- Update architecture diagram to show both patterns
* fix(docs): add llamaindex/openai icons, rename Codex
- Add llamaindex.png and openai.png icons
- Rename "OpenAI Codex CLI" to "Codex" in integrations.json and docs
- Use openai.png icon for Codex integration
* fix(codex): cleanup dead code and add to release lifecycle
- Remove orphaned reflect() method from client.py (leftover from dropped auto-mode)
- Remove dead retainToolCalls config default (never wired through)
- Add codex to release-integration.sh valid integrations
- Add settings.json version fallback to release script
- Add codex CI test job in test.yml
- Add codex to integrations.json registry
* docs(codex): add changelog page and link from integration docs
* feat(codex): add hosted installer script (get-codex)
Add self-contained installer at hindsight.vectorize.io/get-codex that
downloads scripts from GitHub, configures hooks, and supports local/cloud
mode selection — no git clone required.
Update docs and README to use the one-liner install:
curl -fsSL https://hindsight.vectorize.io/get-codex | bash
* chore(codex): remove install.sh in favor of hosted get-codex
* fix(docs): use /next/ prefix for codex changelog link
* fix(docs): use GitHub link for codex changelog back-link
* feat(codex): add Hindsight memory integration for OpenAI Codex CLI
Hooks-based integration that gives Codex CLI long-term memory via Hindsight.
Three hooks keep memory in sync: SessionStart (daemon pre-warm), UserPromptSubmit
(recall + context injection), Stop (retain conversation to memory).
Key differences from the Claude Code integration:
- Codex transcript format: JSONL with {msg: {type, message}} (user_message/agent_message)
- No CODEX_PLUGIN_ROOT env var — install.sh writes hooks.json with absolute paths
- State stored in ~/.hindsight/codex/state/ (not CLAUDE_PLUGIN_DATA)
- No async: true in hooks (not supported by Codex)
- No SessionEnd event
- hooks.json written to ~/.codex/hooks.json with codex_hooks = true in config.toml
* fix(codex): fix transcript parser for actual Codex disk format
Codex stores sessions as rollout-*.jsonl with response_item entries:
User: {type:response_item, payload:{type:message, role:user, content:[{type:input_text, text:...}]}}
Assistant: {type:response_item, payload:{type:message, role:assistant, phase:final_answer, content:[{type:output_text, text:...}]}}
Previous parser expected an undocumented {msg:{type:user_message}} format from the Rust protocol spec
that does not match the actual on-disk storage format.
* feat(codex): add reflect mode to UserPromptSubmit hook
Add recallMode config option (default: 'recall') that switches the
UserPromptSubmit hook between:
- 'recall': existing behavior, fast raw facts list
- 'reflect': agentic synthesis loop, returns coherent prose answer
Also adds reflect() method to HindsightClient and HINDSIGHT_RECALL_MODE
env var override. Reflect uses a 25s timeout (vs 10s for recall).
* feat(codex): auto mode for recall/reflect selection
Add recallMode: 'auto' (new default) that picks the operation per-query:
- Synthesis patterns (what do you know, what's my, summarize, etc.) → reflect
- All other prompts → recall (fast, raw facts, better for code tasks)
* feat(codex): add automated test suite and finalize recall-only mode
* docs(codex): add docs page and sidebar entry for Codex CLI integration
* feat: add LlamaIndex integration for Hindsight
Add hindsight-llamaindex package providing persistent memory tools for
LlamaIndex agents via the native BaseToolSpec pattern. Includes retain,
recall, and reflect tools, a convenience factory, global config, full
test suite, docs page, blog post, and integrations.json entry.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address PR review feedback for llamaindex integration
- Fix ReActAgent API: from_tools() → constructor, chat() → await run()
- Add create_bank step to all quickstart examples
- Add production patterns section to docs (tags, error handling, bank lifecycle)
- Add memory scoping recommendation to README
- Add when-not-to-use section to blog post
- Add LlamaIndex compatibility tests (agent acceptance, FunctionTool.call)
- Fix self-hosted auth wording in cookbook notebook
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: use async client methods and asyncio.run() for runnable examples
- Use await client.acreate_bank() instead of sync create_bank() to
avoid "event loop already running" errors in notebooks and async contexts
- Wrap plain Python examples in async def main() + asyncio.run(main())
so they are copy-paste runnable as scripts
- Add Jupyter notebook tip to docs showing top-level await pattern
- Bank lifecycle example in docs now uses async acreate_bank
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: add async tool methods to avoid event loop conflicts
HindsightToolSpec now provides both sync and async tool implementations
using LlamaIndex's (sync_fn, async_fn) tuple pattern in spec_functions.
Async agents (ReActAgent, etc.) use aretain/arecall/areflect natively,
avoiding the "Timeout context manager should be used inside a task"
error that occurred when sync _run_async() was called from within an
active event loop.
- Add aretain_memory, arecall_memory, areflect_on_memory async methods
- Extract shared kwargs builders (_retain_kwargs, _recall_kwargs, etc.)
- spec_functions now uses tuples: [("retain_memory", "aretain_memory"), ...]
- Tests verify tools have both sync fn and async fn set
- Notebook verified end-to-end with nbclient against local Hindsight
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove blog post from integration PR
The blog post will be pulled in separately from its own PR.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Address PR review: add context label, document_id auto-gen, bank mission, graceful errors
- Add `retain_context` param (default: "llamaindex") as source label on retain ops
- Auto-generate `document_id` as `{session_id}-{timestamp_ms}` when not provided
- Add `retain_async` param (default: True) for non-blocking retain processing
- Add `mission` param for automatic bank creation/management on first use
- Change error handling from raising HindsightError to graceful log + return message
- Add per-operation timeout constants in _client.py
- Add `context` and `mission` fields to config.py and configure()
- Update docs: document as standalone package (not LlamaHub), new params, patterns
- Tests: 51 passing (up from 34), covering all new features
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Restructure to LlamaIndex namespace packages + add BaseMemory implementation
Tools package (llama-index-tools-hindsight):
- Restructured from hindsight_llamaindex/ to llama_index/tools/hindsight/
- Import: from llama_index.tools.hindsight import HindsightToolSpec
- Follows PEP 420 implicit namespace package convention
- Removed retain_async param (client.retain() doesn't support async_processing)
Memory package (llama-index-memory-hindsight):
- New package: llama_index/memory/hindsight/
- HindsightMemory(BaseMemory) for automatic memory
- put() auto-retains user/assistant messages to Hindsight
- get(input) auto-recalls relevant memories, prepends as system message
- Graceful error handling, bank mission management, document_id generation
- 28 unit tests passing
Both packages follow LlamaIndex community conventions for future LlamaHub submission.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
- Add AG2 integration doc with quick start, configuration, GroupChat example, and API reference
- Add to sidebar, versioned sidebar, and integrations hub
- Add AG2 icon
* feat(openclaw): add recallInjectionPosition config to preserve prompt cache
Add configurable injection position for recalled memories to avoid
breaking prefix-based prompt caching (Anthropic/Google) when agents
have large static system prompts.
Options: 'prepend' (default, current behavior), 'append' (end of
system prompt, preserves cache), 'user' (before user message).
Closes#703
* docs(openclaw): document all plugin config flags
Add missing config options to the OpenClaw docs: recallTopK,
recallTypes, recallContextTurns, recallMaxQueryChars,
recallPromptPreamble, recallInjectionPosition, recallRoles,
retainEveryNTurns, retainOverlapTurns, and debug.
* docs(claude-code): tidy configuration reference and sync README
Add missing settings (retainMode, retainToolCalls, retainTags,
retainMetadata, embedPackagePath, llmApiKeyEnv, agentName, and
several recall options) that existed in code but not in docs.
Restructure config tables with prose introductions, clearer
descriptions, and consistent layout across both files.
* refactor(claude-code): remove recallTopK setting
Unused client-side cap — Hindsight server already controls result
count via recallBudget and recallMaxTokens.
* feat(hermes): file-based config + updated docs
Replace the old dataclass/configure() singleton with a plain dict
config loaded from ~/.hindsight/hermes.json — same field names and
conventions as the openclaw and claude-code integrations.
Loading order: defaults → config file → env var overrides.
- config.py: rewritten with load_config() returning a plain dict,
DEFAULTS matching openclaw/claude-code fields, ENV_OVERRIDES with
typed casting
- tools.py: register() uses load_config() instead of raw env vars
- __init__.py: clean exports (removed configure/get_config/reset_config)
- README.md: full rewrite with config file examples, tables by category
- docs/hermes.md: full rewrite with quick start, architecture, all
config tables, gateway section, troubleshooting
- tests: updated for new config pattern, 46 tests pass
* ci: add test job for hermes integration
* chore: regenerate docs skill for hermes integration
* feat: add Strands Agents SDK integration with Hindsight memory tools
* fix: add strands docs to versioned docs so build link check passes
* fix(strands): run hindsight client calls in thread pool to avoid event loop conflict with Strands
* feat(openclaw): remove hardcoded default models, rely on Hindsight API defaults
* feat(claude-code): remove hardcoded default models, rely on Hindsight API defaults
* feat(claude-code,docs): remove hardcoded default models from claude-code integration and docs
* feat: use claude-haiku-4-5 as default Anthropic model
* doc: add Claude Code + Telegram + Hindsight blog post
* doc: add fabioscarsi to blog authors
* doc: update fabioscarsi title to Contributor
* doc: remove horizontal rule dividers from blog post
* doc: update cover image and add image frontmatter for claude-code-telegram blog post
* doc: remove horizontal rule dividers
* doc: align Hindsight setup steps with PR #661 README
* fix: move marketplace.json to repo root and update source path
* doc: add Claude Code integration page, sidebar, and integrations hub entry
* doc: update versioned docs to 0.4.19
---------
Co-authored-by: Ben <ben.bartholomew@vectorize.io>
* feat: add LangGraph integration with tools, nodes, and store patterns
Add hindsight-langgraph SDK providing three integration patterns:
- Tools: retain/recall/reflect as LangChain tools for ReAct agents
- Nodes: automatic memory injection and storage as graph steps
- Store: LangGraph BaseStore implementation for checkpoint-based memory
Fix: remove `from __future__ import annotations` in nodes.py which
prevented LangGraph from passing RunnableConfig to node functions
(runtime type inspection saw string annotations instead of actual types).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: register langgraph with independent versioning system
- Set version to 0.1.0 (integrations are versioned independently)
- Add langgraph to VALID_INTEGRATIONS in release-integration.sh
- Add changelog page for langgraph integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove manual cookbook recipe page
The sync-cookbook script will auto-generate this from the notebook
in hindsight-cookbook once PR #17 is merged.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: comprehensive improvements to langgraph integration
Code fixes:
- Retain node only stores latest messages instead of all history (prevents duplicates)
- Handle multimodal msg.content (list type) in nodes
- Fix store docstring separator "/" → "."
- Apply search filters before pagination in store
- Add ttl parameter to store.aput for LangGraph BaseStore compat
- Fix _ensure_bank to not cache failed bank creations
- Fix falsy value bugs (or → is not None) in tools
- Remove from __future__ import annotations from all files
- Consistent default budget="mid" across tools/nodes/store
- Bump langgraph floor to >=0.3.0, remove duplicate dev deps
Docs fixes:
- Fix broken Cloud client example (base_url is required)
- Complete API reference tables with all parameters
- Add Limitations and Notes section (async-only store, etc.)
- Add Requirements section
- Fix broken cookbook link and Cloud claim in blog post
All 61 unit tests pass. E2E tested against Hindsight Cloud:
tools, nodes, store, configure(), multimodal content.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove blog post (lives in hindsight-marketing-content)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove Hindsight Cloud section from langgraph docs
Keep OSS docs self-hosted-first, consistent with other integration
docs (crewai, pydantic-ai, agno). Cloud setup details live in the
cookbook notebooks.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: explicitly mention LangChain compatibility in langgraph integration
The tools pattern (create_hindsight_tools) only depends on
langchain-core and works with plain LangChain via bind_tools() —
no LangGraph required. Update docs to make this clear with both
LangGraph and LangChain quick start examples.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address PR review findings
1. Guard manual test files with if __name__ == "__main__" so pytest
doesn't collect and execute them during test runs
2. Remove semantic fallback in HindsightStore.aget() — only return
exact document_id matches, not unrelated semantic search hits
3. Make langgraph an optional dependency — tools pattern only needs
langchain-core. Install with pip install hindsight-langgraph[langgraph]
for nodes and store patterns. Lazy imports with clear error messages.
4. Clean up README to be self-hosted-first, consistent with other
integration docs
5. Update docs requirements section to reflect optional langgraph dep
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address PR review feedback for langgraph integration
- Fix#2: Add per-bank asyncio.Lock to _ensure_bank for concurrency safety
- Fix#3: Clamp search score to max(0.0, ...) to prevent negative values
- Fix#4: Implement suffix matching in _handle_list_namespaces
- Fix#5: Truncate namespaces to max_depth instead of filtering (per BaseStore contract)
- Fix#6: Remove list_namespaces/alist_namespaces overrides — let base class handle prefix=/suffix= kwargs
- Fix#7: Document ephemeral namespace tracking and get() limitations in class docstring
- Fix#8: Add stable ID to recall node SystemMessage, document ordering behavior
- Fix#9: Change budget/max_tokens/recall_tags_match defaults to None so global config fallback works
- Fix#10: Conditionally populate __all__ so import * works without langgraph installed
- Fix#11: Bump langgraph lower bound from >=0.3.0 to >=0.5.0
- Fix#12: Extract _resolve_client to shared _client.py module
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address remaining review gaps for langgraph integration
- Add output_key parameter to create_recall_node for prompt ordering control
- Add prefix/suffix/combined filter tests for list_namespaces
- Add output_key unit tests (memory text, none on empty, none on error)
- Remove unused imports and backward-compat alias in tools.py
- Update docs with output_key usage example and API reference
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: relax langgraph version constraint to >=0.3.0
Research confirmed all required APIs (BaseStore, SearchItem, Result,
GetOp, PutOp, SearchOp, ListNamespacesOp) are available since
langgraph-checkpoint 2.0.7, which maps to langgraph >=0.2.63.
Using >=0.3.0 as a clean semver boundary — >=0.5.0 was unnecessarily
conservative and excluded many compatible versions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat(openclaw): squash branch updates for fork PR
* revert(api): drop memory_engine query normalization from this PR
* fix(openclaw): harden hook isolation and sanitize recall logging
* chore(openclaw): gate missing-senderId notice behind debug logger
* fix(openclaw): address remaining PR review follow-ups
* fix(openclaw): address upstream review comments on isolation and tests
* feat(openclaw): prepend current timestamp to recalled memory context
* chore(openclaw): sync package-lock version to 0.4.14
* chore(openclaw): format recall timestamp as yyyy-mm-dd HH:MM
* feat(openclaw): add configurable recall context composition
- Add recallRoles config to filter which message roles are included in recall query context
- Add recallContextTurns to control how many user turns of prior context to include
- Add recallMaxQueryChars to cap composed query length
- Reduce default max_tokens from 2048 to 1024 for recall responses
- Update documentation and plugin schema with new configuration options
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): put latest user message at end of recall query, add debug to schema
- Reorder composed recall query so latest user message is at the bottom,
giving embedding models the most weight where it matters most
- Update truncateRecallQuery to trim oldest context lines first,
always preserving the suffix (priority instruction + latest message)
- Add debug flag to openclaw.plugin.json schema
- Update tests to reflect new query order
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): add verbose debug logging for recall/retain
- Log full recall query (not just first 50 chars)
- Log all raw recall results with scores and content before topK trimming
- Log retain transcript preview and document ID
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): strip sender metadata envelope from prior context in recall query
Prior context messages passed to composeRecallQuery contained raw OpenClaw
envelope blocks (Sender/untrusted metadata JSON) which were diluting the
semantic signal of the recall query. Strip them the same way extractRecallQuery
already does for the latest message.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): add debug log for event.messages at recall time
Helps diagnose why recallContextTurns > 1 may not show extra context
by logging message count and roles available in event.messages.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): strip sender metadata envelope from rawMessage before recall query extraction
The rawMessage from Telegram group chats arrives wrapped in a:
---
Sender (untrusted metadata):
```json {...}```
<actual message>
---
envelope. This wasn't being stripped before extractRecallQuery used it,
so the full envelope including JSON metadata was being sent as the recall
query, severely diluting semantic relevance.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): warn when recallContextTurns > 1 but event.messages is empty
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): read messages from event.context.sessionEntry.messages for recall and retain
event.messages was always empty — the actual conversation history is at
event.context.sessionEntry.messages. Fall back to event.messages for
backwards compatibility. This fixes recallContextTurns and retain both
being unable to see the conversation history.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): extract stripMetadataEnvelopes helper and apply to retain path
- Add shared stripMetadataEnvelopes() to strip OpenClaw sender/conversation
metadata blocks from message content in all paths (recall query extraction,
prior context composition, and retain transcript)
- This prevents metadata-polluted memories (name/sender ID facts) from being
stored and ensures recall queries contain clean user text only
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): strip metadata envelopes after channel envelope extraction too
The prompt format is: [ChannelName ...]\n<metadata envelope>\n<message>
After extracting content after [ChannelName], the metadata envelope was
still present. Now stripMetadataEnvelopes runs again after the channel
envelope extraction step.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): switch recall hook from before_agent_start to before_prompt_build
before_prompt_build runs after session load and has messages available,
enabling recallContextTurns to work correctly. before_agent_start runs
pre-session with no messages.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): move current time inside memory tag, simplify recall query format
- Move "Current time" line inside <hindsight_memories> so it's not exposed
to the recall search as part of the query context
- Remove RECALL_QUERY_PRIORITY_INSTRUCTION and "Latest user message:" label
from composed recall query — the raw message is more effective for
semantic search without the extra prompt noise
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): address PR review comments on bank ID fallback and memory leaks
- Add early return in deriveBankId when ctx is undefined, falling back
to static default bank instead of generating a placeholder-filled ID
- Remove unused RECALL_QUERY_PRIORITY_INSTRUCTION dead constant
- Evict from banksWithMissionSet when evicting from clientsByBankId
to prevent unbounded memory growth in long-running instances
- Fix integration test hook name: before_agent_start → before_prompt_build
- Fix integration test assertions to match actual composeRecallQuery output
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): extract sender ID from inbound metadata blocks for bank ID derivation
Agent-phase hooks (before_prompt_build, agent_end) don't carry senderId in ctx
by design. Parse it from the "Conversation info / Sender (untrusted metadata)"
JSON blocks that OpenClaw injects into the prompt/messages instead.
- Add extractSenderIdFromText() helper that scans all metadata blocks and
returns the first sender_id / id field found
- before_prompt_build: extract from event.prompt/rawMessage, spread into ctx
before calling deriveBankId and getClientForContext
- agent_end: scan user messages for the metadata block, spread into effectiveCtx
before calling deriveBankId and getClientForContext
- Gracefully skipped when senderId is already present in ctx
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): scan messages from end for sender ID to handle group chats
When multiple users have spoken in a session, scanning from the front
returns the first sender in history rather than the one who triggered
the current agent run. Reverse the slice before finding so we always
pick the most recent user message's sender ID.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): use event.messages for sender ID in agent_end, not sessionEntry
sessionEntry.messages is the cleaned-up history without OpenClaw's injected
metadata prefix blocks. event.messages is the raw payload that still contains
the "Conversation info (untrusted metadata)" JSON — so parse sender_id from
there instead.
Also removes the unnecessary senderIdBySession cache added in the previous
attempt, since event.messages has everything needed directly.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): cache sender ID from before_prompt_build for use in agent_end
event.prompt in before_prompt_build contains OpenClaw's injected metadata
blocks with sender_id. event.messages in agent_end is clean history without
them — so parsing messages in agent_end never finds a sender ID.
Fix: cache the resolved sender ID (keyed by sessionKey) when it's extracted
in before_prompt_build, then look it up by sessionKey in agent_end.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* docs(openclaw): revert Auto-Recall token count to 1024 as unchanged from main
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* fix(openclaw): revert recallMaxTokens default from 2048 to 1024 to match main
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
* feat: add Pydantic AI integration to CI, release pipeline, and docs
- Add test-pydantic-ai-integration job to CI (test.yml)
- Add build, publish, and artifact steps to release workflow (release.yml)
- Add hindsight-integrations/pydantic-ai to release.sh version bumping
- Add Pydantic AI documentation page (sdks/integrations/pydantic-ai.md)
- Add Pydantic AI entry to sidebar with icon
* docs: remove Requirements section from pydantic-ai integration page
Add directives, memory browsing, documents, operations, tags, and bank
management tools to the MCP server. Expose previously hardcoded parameters
(budget, types, tags, response_schema, trigger) on retain, recall, reflect,
and mental model tools. Update docs for all new tools and parameters.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add CrewAI integration for persistent crew memory
Implements a CrewAI ExternalMemory storage backend that maps CrewAI's
Storage interface (save/search/reset) to Hindsight's retain/recall/delete
APIs, giving crews long-term memory with fact extraction, entity tracking,
and temporal awareness across runs.
Key features:
- HindsightStorage: drop-in Storage backend for CrewAI ExternalMemory
- HindsightReflectTool: BaseTool exposing Hindsight's reflect API
- Per-agent memory banks with customizable bank resolver
- Async compatibility layer for CrewAI's threading model
- 35 unit tests, docs site page, example script
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: move CrewAI example to hindsight-cookbook
Move research_crew.py example from hindsight-integrations/crewai/examples/
to the cookbook repo and update the integration README to link there instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* ci: add GitHub Actions test job for CrewAI integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* ci: add uv.lock for frozen installs in CI
The test-crewai-integration CI job uses `uv sync --frozen` which
requires a committed lock file.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
The waitlist is no longer needed. Update all references from
vectorize.io/hindsight/cloud to ui.hindsight.vectorize.io/signup
and change "request early access" language to "sign up".
* docs: add AI SDK integration documentation
- Add comprehensive AI SDK documentation in docs/sdks/integrations/ai-sdk.md
- Detailed description of all three memory tools (retain, recall, reflect)
- Complete parameter documentation and return types
- Advanced usage patterns (streaming, multi-user, ToolLoopAgent)
- HTTP client example for zero-dependency usage
- TypeScript types and API reference
- Best practices and system prompt examples
- Update AI SDK README to brief quickstart with link to docs
- Single source of truth: comprehensive docs in documentation site
- README now focuses on quick setup and points to full docs
- Maintains features list and basic example for npm page
* fix
- Add plugin configuration example with hindsightApiUrl and hindsightApiToken
- Document behavior differences when using external API mode
- Add verification steps and log messages to expect
- Explain use cases (shared memory, production, team environments)
* feat(openclaw): use hindsight-embed profiles for configuration
- Replace manual config file writing with hindsight-embed configure command
- Create and use 'openclaw' profile for all hindsight-embed operations
- Add support for openai-codex and claude-code providers
- Map special providers (openai-codex -> openai, claude-code -> anthropic)
- Simplify client by removing getEnv() method
- All CLI commands now use --profile openclaw flag
- Add get_cli_profile_override() function to cli.py for profile_manager
* feat: improve openclaw and hindisght-embed params
* feat: improve openclaw and hindisght-embed params
* feat(embed): remove daemon.lock, add profile-specific logs and --merge flag
* fix(embed): restore metadata.json functionality for profile tests
- Restore ProfileMetadata class and metadata tracking
- Fix profile manager create_profile to support both (name, config) and (name, port, config) signatures
- Auto-allocate ports when not provided in configure command
- Fix --profile flag parsing (was consumed by parent parser)
- All 47 hindsight-embed tests now pass
* fix(embed): support HINDSIGHT_EMBED_LLM_* env vars for backward compatibility
- configure command now accepts both HINDSIGHT_API_LLM_* and HINDSIGHT_EMBED_LLM_* prefixes
- Fixes test_configure_without_profile_flag test
- All 47 hindsight-embed tests pass
* style(embed): apply ruff formatting to cli.py
* fix(embed): simplify test.sh to verify hindsight-embed availability via uv
Removed CLI installation code from smoke test. The test now simply verifies
that hindsight-embed command is available via `uv run`, which is all that's
needed for CI to pass. This fixes the test-embed check that was failing with
"ERROR: hindsight CLI not found".
* fix(embed): remove hindsight-embed availability check from test.sh
The verification step was failing in CI because hindsight-embed --version
doesn't work without configuration. Since pytest tests already verify the
package is installed (47 tests passed), we don't need this check. The smoke
test itself will verify functionality by running retain/recall commands.
* chore(embed): add comment to test.sh to trigger CI
* fix(embed): use HINDSIGHT_API_LLM_* env vars consistently
Remove support for HINDSIGHT_EMBED_LLM_* variables to align with
the standard HINDSIGHT_API_LLM_* naming convention used across the codebase.
Changes:
- Update get_config() to only check HINDSIGHT_API_LLM_* variables
- Update _do_configure_from_env() to remove HINDSIGHT_EMBED_LLM_* fallbacks
- Update test.sh to check for HINDSIGHT_API_LLM_API_KEY
- Update CI workflow (test-embed job) to set HINDSIGHT_API_LLM_* env vars
* feat(hindsight-embed): external API support + OpenClaw fixes
Adds comprehensive external API support and fixes critical OpenClaw plugin issues.
**External API Support:**
- Add HINDSIGHT_EMBED_API_URL to connect to external Hindsight API servers
- Add HINDSIGHT_EMBED_API_TOKEN for Bearer token authentication
- Add HINDSIGHT_EMBED_API_DATABASE_URL for custom PostgreSQL databases
- Skip daemon startup when external API URL is configured
- Add 10 comprehensive unit tests for external API scenarios
**OpenClaw Plugin Fixes:**
- Fix#263: Port mismatch (DEFAULT_PORT 8888 → 8889)
- Fix#264: Add daemon recovery after OpenClaw SIGUSR1 restarts
- Fix OpenRouter support: Pass HINDSIGHT_API_LLM_BASE_URL to daemon
- Fix macOS crashes: Auto-set FORCE_CPU flags for MPS/Metal issues
**LLM Configuration Refactor:**
- Auto-detect provider from standard env vars (OPENAI_API_KEY, etc.)
- Support explicit override via HINDSIGHT_API_LLM_* env vars
- Update model defaults (gemini-2.5-flash, openai/gpt-oss-20b)
- Remove provider-specific base URL support (only HINDSIGHT_API_LLM_BASE_URL)
**Documentation Updates:**
- Rewrite OpenClaw integration docs with crystal clear examples
- Add external API usage examples
- Add OpenRouter free model examples
- Update Quick Start with simplified provider setup
Closes#263, Closes#264
* docs(openclaw): streamline docs and add config inspection
- Remove duplicate/verbose sections (468 → 216 lines)
- Add section showing how to check ~/.hindsight/embed config file
- Add daemon status checking commands
- Keep only essential configuration examples
- Consolidate troubleshooting sections
* fix(test): update daemon health check port from 8889 to 8888
The test was checking port 8889 but we changed the daemon to use port 8888.
* fix: rename openclawd to openclaw
* fix: rename openclawd to openclaw
* Revise OpenClaw documentation and remove dev section
Updated the description of local memory for OpenClaw agents and removed the development section along with requirements and links.
- Fix XML tag: <hindsight-context> → <hindsight_memories>
- Remove embedPort config option (not implemented in code)
- Add default bankMission text to config docs
- Add 'Why Auto-Recall?' section explaining conceptual advantage over tools
- Add JSON format example showing metadata structure
- Add 'Local-First Design' section emphasizing privacy/cost/ownership benefits
- Update intro to highlight local-first and zero-cost aspects
These changes better align the docs with the blog post's narrative about why
auto-recall is better than tool-based memory and why local-first matters.
* fix: rename moltbot to openclawd
* fix
* fix
* fix: use single shared pg0 database for all banks + add default mission
This commit fixes a critical database isolation issue and adds the default
mission feature for the openclawd plugin.
## Changes:
**hindsight-embed:**
- Fixed daemon_client.py to use single shared database: pg0://hindsight-embed
- Previously, each bank_id would create a separate pg0 instance (wrong!)
- Now all banks share the same database with isolation via bank_id parameter
- Updated README to clarify database architecture
**openclawd plugin (v0.0.5):**
- Added default bank mission describing OpenClawd's multi-channel assistant role
- Added setBankMission() method to client
- Integrated mission setting during plugin initialization
- Added bankMission to plugin config schema with sensible default
- Updated docs to explain shared database architecture
## Why this matters:
Bank isolation should happen WITHIN the database (via separate tables/schemas),
not via separate database instances. Using HINDSIGHT_EMBED_BANK_ID to create
separate pg0 databases was architecturally wrong and caused confusion.
* ci: rename moltbot to openclawd in workflows and release script
- Updated build-moltbot-integration → build-openclawd-integration in test.yml
- Updated release-moltbot-integration → release-openclawd-integration in release.yml
- Updated all working directories from moltbot to openclawd
- Updated artifact names from moltbot-integration to openclawd-integration
- Added openclawd package.json to release.sh version bump script
The "Test memory" example is too short for the LLM to extract
meaningful facts from, causing the test to silently fail (0 memories
created). Replace with "Alice works at Google as a software engineer"
which has enough context for fact extraction.
Fixes test examples in:
- get-skill installer (local and cloud modes)
- hindsight-embed configure output
- skills.md documentation
* doc: update expired Slack invite link
* feat: add cloud mode to skill installer for team memory sharing
Adds support for Hindsight Cloud in the skill installer, enabling teams
to share memories about a codebase. Changes include:
- Add `--mode cloud` option to get-skill installer
- Install hindsight CLI binary for cloud mode (via get-cli)
- Configure ~/.hindsight/config with API URL and key
- Generate cloud-specific SKILL.md with team-aware guidance
- Distinguish between project conventions and individual preferences
- Update skills.md documentation with cloud setup instructions
Cloud mode workflow:
1. Team admin creates a bank in Hindsight Cloud
2. Each developer runs: curl ... | bash -s -- --mode cloud
3. All team members share the same memory bank
4. Knowledge retained by one member benefits everyone
* feat: support for gemini-3-pro and gpt-5.2
* feat: support for gemini-3-pro and gpt-5.2
* feat: support for gemini-3-pro and gpt-5.2
* feat: support for gemini-3-pro and gpt-5.2
* feat: add local mcp server
* docs
* docs
