Agent skill

API Reference

Memoria REST API endpoints, request/response formats, auth, rate limits.

Apache-2.0Auto-check passedBackend & APIs

Install API Reference

skills CLI

$ npx skills add matrixorigin/memoria --skill api-reference -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install matrixorigin/memoria api-reference --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/matrixorigin/memoria.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/api-reference .claude/skills/api-reference && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "api-reference" agent skill from https://github.com/matrixorigin/memoria/tree/main/skills/api-reference into .claude/skills/api-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-reference", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/matrixorigin/memoria/tree/main/skills/api-reference

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add matrixorigin/memoria --skill api-reference -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install matrixorigin/memoria api-reference --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/matrixorigin/memoria.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/api-reference .agents/skills/api-reference && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "api-reference" agent skill from https://github.com/matrixorigin/memoria/tree/main/skills/api-reference into .agents/skills/api-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-reference", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add matrixorigin/memoria --skill api-reference -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install matrixorigin/memoria api-reference --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/matrixorigin/memoria.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/api-reference .cursor/skills/api-reference && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "api-reference" agent skill from https://github.com/matrixorigin/memoria/tree/main/skills/api-reference into .cursor/skills/api-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-reference", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/matrixorigin/memoria.git --path skills/api-reference

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add matrixorigin/memoria --skill api-reference -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install matrixorigin/memoria api-reference --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/matrixorigin/memoria.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/api-reference .gemini/skills/api-reference && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "api-reference" agent skill from https://github.com/matrixorigin/memoria/tree/main/skills/api-reference into .gemini/skills/api-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-reference", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install matrixorigin/memoria api-reference

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add matrixorigin/memoria --skill api-reference -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/matrixorigin/memoria.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/api-reference .github/skills/api-reference && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "api-reference" agent skill from https://github.com/matrixorigin/memoria/tree/main/skills/api-reference into .github/skills/api-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-reference", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add matrixorigin/memoria --skill api-reference -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install matrixorigin/memoria api-reference --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/matrixorigin/memoria.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/api-reference .opencode/skills/api-reference && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "api-reference" agent skill from https://github.com/matrixorigin/memoria/tree/main/skills/api-reference into .opencode/skills/api-reference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-reference", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: api-reference
GitHub stars: 607
Token cost: ~2.3k tokens
SKILL.md length: 790 words
Files: 1
Skills in repo: 9
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Memoria REST API endpoints, request/response formats, auth, rate limits.

Works in 5 steps: User retrieves memories via… → Agent uses memories to answer questions → Agent calls memory_feedback with signal… → …
Implementing API endpoints
SKILL.md covers Memory CRUD, Snapshots, Branches and Governance, plus 5 more sections
Needs LLM_API_KEY

What it does

API Reference is an agent skill from matrixorigin/memoria. Memoria REST API endpoints, request/response formats, auth, rate limits. Use when calling or implementing API endpoints.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering REST APIs, Rate limiting and Structured output and tool calling. The repository describes itself as: Secure memory management for AI Agents • Ensures data integrity • Reduces hallucinations • Maintains consistent long-term context. The licence is Apache-2.0.

When your agent uses it

Implementing API endpoints
Tasks that involve REST APIs
Tasks that involve Rate limiting

Example prompts

“/api-reference”

Requirements

A credential in LLM_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

User retrieves memories via memory_retrieve or memory_search
Agent uses memories to answer questions
Agent calls memory_feedback with signal based on outcome
System adjusts feedback_weight parameter (auto-tuned daily by governance)
Future retrievals rank memories higher/lower based on accumulated feedback

What it can do on your machine

Read from SKILL.md and the folder at commit 81c5cc6. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- LLM_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

API Reference loads about 2.3k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 790 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~34
When it runs · the whole SKILL.md, loaded when a task matches: ~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from matrixorigin/memoria at commit 81c5cc6, republished under its Apache-2.0 licence (© matrixorigin). 790 words, ~2,339 tokens.

Download SKILL.mdSave it as .claude/skills/api-reference/SKILL.md (or your agent's skills folder).

name: api-reference
description: Memoria REST API endpoints, request/response formats, auth, rate limits. Use when calling or implementing API endpoints.

Memory CRUD

List: `GET /v1/memories?limit=50&cursor=...&memory_type=semantic`

Response: { "items": [...], "next_cursor": "..." }

Store: `POST /v1/memories`

json

{ "content": "...", "memory_type": "semantic", "session_id": null }

Returns 201 with MemoryResponse.

Types: semantic (default), profile, procedural, working, tool_result

Batch Store: `POST /v1/memories/batch`

json

{ "memories": [{ "content": "..." }, { "content": "...", "memory_type": "profile" }] }

Retrieve: `POST /v1/memories/retrieve`

Hybrid vector + fulltext search, ranked by relevance.

json

{ "query": "...", "top_k": 10, "memory_types": ["semantic"], "session_id": null, "explain": false }

explain: false | true (timing) | "verbose" (detailed) | "analyze" (full diagnostics)

Search: `POST /v1/memories/search`

json

{ "query": "...", "top_k": 10, "explain": false }

Same as retrieve but without session prioritization.

Full-text Search: `POST /v1/memories/fulltext-search`

Pure MatrixOne lexical full-text search with optional exact SQL pre-filters. It does not generate embeddings or run vector, graph, hybrid, temporal, or confidence scoring and is intentionally not exposed as an MCP tool.

json

{
  "query": "MatrixOne database",
  "extra_metadata_filter": {"scene": "incident", "rank": 2},
  "subject_id": "subject-123",
  "memory_types": ["semantic"],
  "session_id": "session-123",
  "trust_tier": "T2",
  "branch": "main",
  "limit": 20
}

All supplied filters use AND. session_id is strict: unscoped memories with session_id: null are not included. This differs from retrieve/search session scoping, which can include unscoped memories. Metadata equality preserves JSON type families: number 2 may equal 2.0, while string "2" does not equal number 2. Query length is limited to 4096 UTF-8 bytes and limit to 1–100.

Returns a plain memory array ordered by MatrixOne full-text score and then memory_id; each result exposes the score as retrieval_score.

Correct by ID: `PUT /v1/memories/{id}/correct`

json

{ "new_content": "...", "reason": "..." }

Correct by Query: `POST /v1/memories/correct`

json

{ "query": "...", "new_content": "...", "reason": "..." }

Finds best match via semantic search, corrects it. Response includes matched_memory_id.

Delete: `DELETE /v1/memories/{id}?reason=...`

Bulk Purge: `POST /v1/memories/purge`

json

{ "memory_ids": ["id1"], "memory_types": ["working"], "before": "2026-01-01T00:00:00", "reason": "..." }

All fields optional. Auto-creates safety snapshot. Response: { "purged": N, "snapshot_name": "..." }

Observe: `POST /v1/observe`

json

{ "messages": [{ "role": "user", "content": "..." }] }

Profile: `GET /v1/profiles/me`

Snapshots

Endpoint	Description
`POST /v1/snapshots`	Create: `{ "name": "...", "description": "..." }`
`GET /v1/snapshots`	List all
`GET /v1/snapshots/{name}?detail=brief&limit=50&offset=0`	Detail (`brief`/`normal`/`full`)
`DELETE /v1/snapshots/{name}`	Delete
`GET /v1/snapshots/{name}/diff?limit=50`	Diff vs current state
`POST /v1/snapshots/{name}/rollback`	Restore to snapshot

Branches

Endpoint	Description
`POST /v1/branches`	Create: `{ "name": "..." }`
`GET /v1/branches`	List all
`POST /v1/branches/{name}/checkout`	Switch to branch
`GET /v1/branches/{name}/diff`	Preview changes vs main
`POST /v1/branches/{name}/merge`	Merge into main: `{ "strategy": "append" }`
`DELETE /v1/branches/{name}`	Delete

Governance

Endpoint	Cooldown	Description
`POST /v1/governance?force=false`	1 hour	Quarantine low-confidence, cleanup stale
`POST /v1/consolidate?force=false`	30 min	Detect contradictions, fix orphans
`POST /v1/reflect?force=false`	2 hours	Synthesize insights (needs LLM)
`POST /v1/extract-entities`	—	Extract entities, build graph (needs LLM)
`POST /v1/extract-entities/link`	—	Manually link entities to memories
`GET /v1/entities`	—	List user's entities

LLM-free alternatives: POST /v1/reflect/candidates, POST /v1/extract-entities/candidates — return raw data for the calling agent to process.

Feedback & Adaptive Retrieval

Feedback signals improve retrieval ranking over time. The system learns which memories are useful/irrelevant for each user.

How It Works

User retrieves memories via memory_retrieve or memory_search
Agent uses memories to answer questions
Agent calls memory_feedback with signal based on outcome
System adjusts feedback_weight parameter (auto-tuned daily by governance)
Future retrievals rank memories higher/lower based on accumulated feedback

Quantified Impact: With default feedback_weight=0.1, a memory with 3 useful signals scores ~1.3x higher; one with 2 wrong signals scores ~0.9x lower. At feedback_weight=0.3, these become ~1.9x and ~0.7x respectively.

Record Feedback: `POST /v1/memories/{id}/feedback`

json

{ "signal": "useful", "context": "helped answer the question" }

Signals: useful, irrelevant, outdated, wrong

Returns 201 with { "feedback_id": "..." }

Errors:

404: Memory not found
422: Invalid signal value

Get Stats: `GET /v1/feedback/stats`

Returns aggregated feedback counts:

json

{ "useful": 42, "irrelevant": 5, "outdated": 3, "wrong": 1 }

Get by Tier: `GET /v1/feedback/by-tier`

Returns feedback breakdown by trust tier (T1-T4).

Show full SKILL.md (313 more words)Show less

Tune Parameters: `POST /v1/retrieval-params/tune`

Manually adjust retrieval scoring weights:

json

{ "feedback_weight": 0.15 }

feedback_weight: 0.01–0.5 (default 0.1). Higher = feedback has more impact on ranking.

Auto-tuning: POST /v1/retrieval-params/tune with empty body triggers automatic tuning based on accumulated feedback.

Errors:

422: feedback_weight out of range
200 with "message": Not enough feedback (requires ≥10 signals)

Get Parameters: `GET /v1/retrieval-params`

Returns current retrieval parameters for the user.

Tool	Relationship
`memory_retrieve` / `memory_search`	Feedback affects their ranking results
`memory_correct`	Use instead of `wrong` feedback when content needs fixing
`memory_purge`	Use instead of `outdated` feedback when memory should be deleted
`memory_governance`	Auto-tunes `feedback_weight` daily based on feedback patterns

Episodic Memory

Generate Summary: `POST /v1/sessions/{session_id}/summary`

json

{ "mode": "full", "sync": true, "generate_embedding": true }

Modes: full (topic/action/outcome) | lightweight (3-5 bullets, max 3/session)

Requires LLM (LLM_API_KEY). Returns 503 without it.

Poll Task: `GET /v1/tasks/{task_id}`

Response: { "task_id": "...", "status": "completed|processing|failed", "result": {...} }

Auth

Endpoint	Auth	Description
`POST /auth/keys`	Master	Create API key: `{ "user_id": "...", "name": "..." }`
`GET /auth/keys`	Bearer	List my keys
`GET /auth/keys/{id}`	Bearer	Get key detail
`PUT /auth/keys/{id}/rotate`	Bearer	Rotate (revoke old, issue new)
`DELETE /auth/keys/{id}`	Bearer	Revoke

Admin (Master key required)

Endpoint	Description
`GET /admin/stats`	System stats
`GET /admin/users?cursor=...&limit=100`	List users
`GET /admin/users/{id}/stats`	User stats
`GET /admin/users/{id}/keys`	User's API keys
`DELETE /admin/users/{id}/keys`	Revoke all user keys
`DELETE /admin/users/{id}`	Deactivate user
`POST /admin/governance/{id}/trigger?op=governance`	Trigger governance (`governance`/`consolidate`/`reflect`)

Plugin Admin (Master key required)

Endpoint	Description
`GET/POST /admin/plugins/signers`	List/add trusted signers
`POST /admin/plugins`	Publish plugin (base64 files)
`POST /admin/plugins/:key/:ver/review`	Review: `{ "status": "active" }`
`POST /admin/plugins/:key/:ver/score`	Score: `{ "score": 4.5 }`
`GET/POST /admin/plugins/domains/:d/bindings`	List/create binding rules
`POST /admin/plugins/domains/:d/activate`	Activate binding
`GET /admin/plugins`	List packages
`GET /admin/plugins/matrix`	Compatibility matrix
`GET /admin/plugins/events`	Audit events

Health (no auth)

Endpoint	Response	Use
`GET /health`	`"ok"`	Liveness probe
`GET /health/instance`	`{ "status": "ok", "instance_id": "..." }`	Readiness probe

Rate Limits

Per API key, sliding window. Key limits: store 300/min, retrieve 300/min, batch 60/min, purge 30/min, consolidate/reflect 10/min. Returns 429 when exceeded.

Error Format

json

{ "detail": "Error message" }

Status codes: 400 (validation), 401 (auth), 403 (forbidden), 404 (not found), 409 (conflict), 429 (rate limit), 500 (internal).

Files

Just SKILL.md in skills/api-reference of matrixorigin/memoria.

Open the folder on GitHubat commit 81c5cc6

Compare with similar skills

API Reference next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

API Reference compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
API Reference this skillmatrixorigin/memoria	607	—	~2.3k	Automated safety check: Pass	Apache-2.0	today
API Gatewayitsmostafa/aws-agent-skills	1.2k	1 repos	~2.2k	Automated safety check: Pass	MIT	yesterday
Frappe Core APIImpertio-Studio/Frappe_Claude_Skill_Package	187	1 repos	~3.2k	Automated safety check: Pass	MIT	20 days ago
API Auditbriiirussell/cybersecurity-skills	412	—	~2.8k	Automated safety check: Notes	MIT	4 mo ago
Frappe Errors APIImpertio-Studio/Frappe_Claude_Skill_Package	187	1 repos	~4k	Automated safety check: Pass	MIT	20 days ago
API Conventionshuangjia2019/claude-code-engineering	1.1k	1 repos	~398	Automated safety check: Pass	None	2 mo ago

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Questions about API Reference

What does API Reference do?

Memoria REST API endpoints, request/response formats, auth, rate limits. API Reference is an agent skill from matrixorigin/memoria. Memoria REST API endpoints, request/response formats, auth, rate limits.

When should I use API Reference?

API Reference fits situations like: implementing API endpoints; tasks that involve REST APIs; tasks that involve Rate limiting.

How do I install API Reference in Claude Code?

Run `npx skills add matrixorigin/memoria --skill api-reference -a claude-code`. Or copy the skill folder (skills/api-reference in matrixorigin/memoria) into .claude/skills/api-reference in your project. Claude Code loads it when a task matches its description.

How do I install API Reference in Codex?

Run `npx skills add matrixorigin/memoria --skill api-reference -a codex`. Or copy the skill folder (skills/api-reference in matrixorigin/memoria) into .agents/skills/api-reference in your project. Codex loads it when a task matches its description.

Can I use API Reference in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add matrixorigin/memoria --skill api-reference -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-reference, .gemini/skills/api-reference, .github/skills/api-reference and .opencode/skills/api-reference in your project.

What does API Reference need to run?

Going by SKILL.md and its folder, API Reference needs credentials named LLM_API_KEY. Our summary lists: A credential in LLM_API_KEY.

Does API Reference access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is API Reference safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does API Reference use?

API Reference is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does API Reference use?

About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to API Reference?

Skills that share tags, products or a category with API Reference: API Gateway (itsmostafa/aws-agent-skills, 1.2k stars), Frappe Core API (Impertio-Studio/Frappe_Claude_Skill_Package, 187 stars), API Audit (briiirussell/cybersecurity-skills, 412 stars) and Frappe Errors API (Impertio-Studio/Frappe_Claude_Skill_Package, 187 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains API Reference?

matrixorigin (a GitHub organization) maintains it in matrixorigin/memoria, which has 607 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 7, 2026.

Source: matrixorigin/memoria on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install API Reference

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Memory CRUD

List: GET /v1/memories?limit=50&cursor=...&memory_type=semantic

Store: POST /v1/memories

Batch Store: POST /v1/memories/batch

Retrieve: POST /v1/memories/retrieve

Search: POST /v1/memories/search

Full-text Search: POST /v1/memories/fulltext-search

Correct by ID: PUT /v1/memories/{id}/correct

Correct by Query: POST /v1/memories/correct

Delete: DELETE /v1/memories/{id}?reason=...

Bulk Purge: POST /v1/memories/purge

Observe: POST /v1/observe

Profile: GET /v1/profiles/me

Snapshots

Branches

Governance

Feedback & Adaptive Retrieval

How It Works

Record Feedback: POST /v1/memories/{id}/feedback

Get Stats: GET /v1/feedback/stats

Get by Tier: GET /v1/feedback/by-tier

Tune Parameters: POST /v1/retrieval-params/tune

Get Parameters: GET /v1/retrieval-params

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Episodic Memory

Generate Summary: POST /v1/sessions/{session_id}/summary

Poll Task: GET /v1/tasks/{task_id}

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Questions about API Reference

List: `GET /v1/memories?limit=50&cursor=...&memory_type=semantic`

Store: `POST /v1/memories`

Batch Store: `POST /v1/memories/batch`

Retrieve: `POST /v1/memories/retrieve`

Search: `POST /v1/memories/search`

Full-text Search: `POST /v1/memories/fulltext-search`

Correct by ID: `PUT /v1/memories/{id}/correct`

Correct by Query: `POST /v1/memories/correct`

Delete: `DELETE /v1/memories/{id}?reason=...`

Bulk Purge: `POST /v1/memories/purge`

Observe: `POST /v1/observe`

Profile: `GET /v1/profiles/me`

Record Feedback: `POST /v1/memories/{id}/feedback`

Get Stats: `GET /v1/feedback/stats`

Get by Tier: `GET /v1/feedback/by-tier`

Tune Parameters: `POST /v1/retrieval-params/tune`

Get Parameters: `GET /v1/retrieval-params`

Generate Summary: `POST /v1/sessions/{session_id}/summary`

Poll Task: `GET /v1/tasks/{task_id}`