Talewell AI Agent
Plugin-first long-term memory for agent platforms — reference implementation of AMP (Agent Memory Protocol).
Talewell is an open-source ai agent by LeoYeAI, written mainly in JavaScript, with 550 GitHub stars and the MIT license. Its code was last updated Oct 1, 2026.
Why Talewell
Two systems shaped this design:
- A $2.5B AI assistant whose memory layer is nothing but git-tracked Markdown plus
grep— crude, but inspectable, auditable, and rollback-able. - OpenClaw's memory architecture — proven on the hard half: provenance tainting, recall-driven promotion, deterministic gates around bounded model consolidation.
Talewell keeps both rigours and adds the thing neither had: one memory layer that every agent platform can speak.
It is plugin-first by design. Every major agent platform is plugin-shaped now; Talewell meets them there instead of asking them to change.
What it does
- Plain Markdown, real git history. One memory record = one file. Every write is a commit. Every fact is diff-able, rollback-able, and readable with
cat. - Deterministic recall. Relevance × recency decay × importance, computed locally. No model call, no network, no API key required to search your own memory.
- Provenance enforced. Content the user stated (
owner) or you derived from it (agent) may be stored. Web pages, tool output, and other people (untrusted) are refused structurally — this is a security property, not a tuning knob. - Corrections that stick. Superseding a record retires the old value from recall and from prompt injection, while git keeps the history.
- A link graph in plain files. Records reference each other with
[[id]]; stable IDs and aliases make the corpus both navigable and greppable. - Prompt injection built in. On OpenClaw, a companion plugin injects a compact index before every turn, so the agent starts already knowing what it knows.
Install
As an MCP server — works with anything that speaks MCP
{
"mcpServers": {
"talewell": {
"command": "node",
"args": ["/path/to/talewell/bin/talewell.mjs", "serve-mcp"],
"env": { "TALEWELL_REPO": "/path/to/talewell-memory" }
}
}
}
Exposes six tools: memory_recall, memory_index, memory_get, memory_remember, memory_forget, memory_graph.
As an OpenClaw plugin — ambient memory
openclaw plugins install --link /path/to/talewell/adapters/openclaw/plugin --force --accept-capabilities
openclaw plugins enable talewell --accept-capabilities
Then grant conversation-hook access so the index can be injected:
{
plugins: {
entries: {
talewell: {
enabled: true,
hooks: { allowConversationAccess: true },
config: { repoPath: "/path/to/talewell-memory", inject: "index" },
},
},
},
}
Restart the gateway. The agent's prompt now carries a memory index every turn.
As a file convention — the universal fallback
talewell install --host codex --dir . # writes a managed block into AGENTS.md
talewell install --host claude-code --dir . # CLAUDE.md + .mcp.json
Any host that reads a project instruction file can use Talewell with no plugin and no protocol support.
Hosts
| Host | Tiers | Instruction file | Verified |
|---|---|---|---|
| OpenClaw | native, mcp, file, cli | AGENTS.md | yes |
| Claude Code | mcp, file, cli | CLAUDE.md | yes |
| Codex | mcp, file, cli | AGENTS.md | yes |
| OpenCode | mcp, file, cli | AGENTS.md | yes |
| Pi Coding Agent | mcp, file, cli | AGENTS.md | yes |
| Hermes | file, cli | AGENTS.md | yes |
| Grok bot | file, cli | AGENTS.md | no |
| Muse AI | file, cli | AGENTS.md | no |
| DeepSeek harness | file, cli | AGENTS.md | no |
Run talewell hosts for the registry with evidence pointers. Unverified hosts use safe defaults rather than guessed config paths.
Per-platform setup recipes — including the general method for any host not listed — are in docs/HOSTS.md.
CLI
talewell init ./talewell-repo # create a memory repo
talewell remember --text "Leo 不吃辣" --alias "饮食,辣,diet" --importance 7
talewell recall "订餐厅要注意什么" # deterministic, no model
talewell get <id>
talewell correct <id> --text "updated value" # supersede, keeps history
talewell forget <id> --reason "user request" # removes, keeps git history
talewell graph <id> --depth 2 # follow [[links]]
talewell index --markdown # compact catalog for injection
talewell health
talewell log --limit 20
talewell diff <id>
talewell rollback <commit> --yes
talewell bundle ./transfer.bundle # cross-host transfer
talewell consolidate candidates.json # bulk, gated
talewell serve-mcp
talewell hosts
talewell install --host claude-code --dir .
talewell uninstall --host claude-code --dir .
All commands accept --repo <dir> (or $TALEWELL_REPO) and --json.
The protocol
AMP — Agent Memory Protocol — is the portable contract Talewell implements. Product and protocol are deliberately separate names: speak of AMP when you mean the format, Talewell when you mean this implementation.
A memory repo is a directory with an amp.json manifest and a memory/ tree:
repo/
amp.json manifest: schema version + policy
memory/
facts/ f-*.md
entities/<type>/ e-*.md
episodes/ ep-*.md
procedures/ pr-*.md
index.json generated catalog (rebuildable)
One record, one file:
---
id: f-m8k2x9a7q3
kind: fact
aliases: [吃饭, dining, 餐厅, 口味]
text: Leo 不吃辣
origin: owner
importance: 7
observedAt: 2026-09-15
links: [e-3n8k2, f-9x1m4]
---
Optional longer prose.
Non-negotiables
- No vector search in the kernel. The baseline runs offline with no API key. Embeddings are an optional layer.
- No silent writes.
untrustedandsystemorigins are structurally refused. - No chat-time curation. Writes go through consolidation, not the reply path.
Architecture
L1 kernel TalewellStore — git-backed Markdown repo (zero npm dependencies)
L2 protocol remember · recall · search · forget · consolidate · graph
L3 adapters OpenClaw · MCP · file convention · ACP
See docs/ARCHITECTURE.md for the full design, the on-disk contract, and a decision table showing which idea came from where.
Tests
node --test "tests/*.test.mjs"
28 tests: round-trip serialisation, commit-per-write, the taint gate, deterministic CJK recall, supersession, git-backed forget, graph traversal, rollback, gated consolidation, and the host-file adapter.
Legacy
This repository was previously OpenClaw Auto-Dream, a prompt-based memory skill for OpenClaw. The original skill and its references are preserved under legacy-skill/ — it still installs and works on OpenClaw. Talewell is its successor: the same idea, rebuilt as a portable plugin framework.
About MyClaw.ai
MyClaw.ai — the best way to run your OpenClaw. A dedicated server running 24/7 with full code control, cron jobs, persistent memory, and one-click skill install.
License
MIT
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