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docs: update README with ITR/DAG/Security architecture and expand ROADMAP

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Rewrite README with architecture diagram showing Isolated Tool Runtime,
DAG Executor, and Security subsystems. Add sections for secret management,
daemon mode, and the ITR pipeline. Update design decisions table.

Add plug-in tool support roadmap items to ROADMAP.md.
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README.md
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@ -2,22 +2,31 @@
A managed fork of [sipeed/picoclaw](https://github.com/sipeed/picoclaw) — an ultra-lightweight AI agent runtime written in Go. A managed fork of [sipeed/picoclaw](https://github.com/sipeed/picoclaw) — an ultra-lightweight AI agent runtime written in Go.
This fork diverges from upstream with its own architectural decisions: vendored LLM SDK, MemGPT-style tiered memory, progressive tool disclosure, and libSQL-native storage with vector search. This fork diverges from upstream with its own architectural decisions:
Where it makes sense, I will do my best to merge upstream changes back into this fork. - vendored LLM SDK
- MemGPT-style tiered memory
- Isolated Tool Runtime:
- capability-based security
- DAG-based parallel tool execution
- libSQL-native storage with vector search
> [!NOTE]
> Where it makes sense, upstream changes are merged back. This is not a strict rule, but a guideline.
--- ---
## Why This Fork Exists ## Why This Fork Exists
The upstream PicoClaw project is a solid foundation — a single-binary AI agent that runs on $10 hardware with <10MB RAM. But it has several architectural gaps that limit extensibility: The upstream PicoClaw project is a solid foundation — a single-binary AI agent that runs on $10 hardware with <10MB RAM. But it has architectural gaps that limit extensibility:
- **Duplicated type systems** across `pkg/providers` and `pkg/tools` - **No privilege boundary** between the LLM and tool execution — a compromised tool has full process access
- **No structured memory** beyond flat markdown files - **No structured memory** beyond flat markdown files
- **All tools loaded into context** every request (token waste) - **All tools loaded into context** every request (token waste at scale)
- **Sequential tool calling only** — each tool call requires a full inference pass
- **Hand-rolled LLM provider implementations** with no streaming, retry, or multi-provider support - **Hand-rolled LLM provider implementations** with no streaming, retry, or multi-provider support
This fork addresses all of those with a coherent architecture while preserving the original's defining strengths: small binary, low memory, single-process deployment. This fork addresses all of those while preserving the original's strengths: small binary, low memory, single-process deployment.
## Architecture ## Architecture
@ -27,14 +36,28 @@ flowchart TB
AL[AgentLoop] --> CB[ContextBuilder] AL[AgentLoop] --> CB[ContextBuilder]
AL --> TR[ToolRegistry] AL --> TR[ToolRegistry]
AL --> MS[MemoryStore] AL --> MS[MemoryStore]
AL --> FSM[ReAct FSM]
end
subgraph ITR["Isolated Tool Runtime"]
SB[SecureBus] --> CAP[Capability Check]
SB --> SI[Secret Injection]
SB --> EX[Tool Execution]
SB --> LS[Leak Scanning]
SB --> AU[Audit Log]
end
subgraph DAG["DAG Executor"]
DE[Executor] --> RES[Dependency Resolver]
DE --> WAVE[Parallel Wave Dispatch]
DE --> JOIN[Joiner Synthesis]
RT[Router] -->|ModeReAct| FSM
RT -->|ModeDAG| DE
end end
subgraph Fantasy["Fantasy SDK (vendored)"] subgraph Fantasy["Fantasy SDK (vendored)"]
FA[FantasyAdapter] --> FP[Provider Registry] FA[FantasyAdapter] --> FP[Provider Registry]
FP --> OR[OpenRouter] FP --> OR[OpenRouter / Anthropic / OpenAI / Gemini]
FP --> AN[Anthropic]
FP --> GG[Google Gemini]
FP --> OA[OpenAI]
end end
subgraph Progressive["Progressive Disclosure"] subgraph Progressive["Progressive Disclosure"]
@ -42,10 +65,12 @@ flowchart TB
TR --> TC["tool_call (dispatch)"] TR --> TC["tool_call (dispatch)"]
end end
subgraph Memory["MemGPT 3-Tier Memory"] subgraph Memory["Memory System"]
MS --> WC[Working Context] MS --> WC[Working Context]
MS --> RC[Recall Memory] MS --> RC[Recall Memory]
MS --> AR[Archival Memory] MS --> AR[Archival Memory]
MS --> OBS[Observational Memory]
MS --> DAGC[DAG Compression]
end end
subgraph Storage["libSQL Storage"] subgraph Storage["libSQL Storage"]
@ -55,6 +80,13 @@ flowchart TB
DEL --> VEC["vector_top_k (ANN)"] DEL --> VEC["vector_top_k (ANN)"]
end end
subgraph Security["Security"]
VLT[Vault XChaCha20] --> SS[SecretStore]
SS --> KR[Keyring / Env / File]
RED[Redactor] --> SB
ZKP[Schnorr ZKP] -.-> SOCK[Daemon Socket]
end
subgraph Bus["Message Bus"] subgraph Bus["Message Bus"]
BUS[MessageBus] --> TG[Telegram] BUS[MessageBus] --> TG[Telegram]
BUS --> DC[Discord] BUS --> DC[Discord]
@ -64,86 +96,83 @@ flowchart TB
BUS --> QQ[QQ] BUS --> QQ[QQ]
end end
AL --> SB
AL --> FA AL --> FA
MS --> DEL MS --> DEL
AL --> BUS AL --> BUS
SB --> TR
style AgentLoop fill:#1a1a2e,stroke:#e066ff,stroke-width:2px,color:#fff style AgentLoop fill:#1a1a2e,stroke:#e066ff,stroke-width:2px,color:#fff
style ITR fill:#1a1a2e,stroke:#ff6b6b,stroke-width:2px,color:#fff
style DAG fill:#1a1a2e,stroke:#ffab00,stroke-width:2px,color:#fff
style Fantasy fill:#1a1a2e,stroke:#4d94ff,stroke-width:2px,color:#fff style Fantasy fill:#1a1a2e,stroke:#4d94ff,stroke-width:2px,color:#fff
style Progressive fill:#1a1a2e,stroke:#ffab00,stroke-width:2px,color:#fff style Progressive fill:#1a1a2e,stroke:#00bfa5,stroke-width:2px,color:#fff
style Memory fill:#1a1a2e,stroke:#2eb82e,stroke-width:2px,color:#fff style Memory fill:#1a1a2e,stroke:#2eb82e,stroke-width:2px,color:#fff
style Storage fill:#1a1a2e,stroke:#ff6b6b,stroke-width:2px,color:#fff style Storage fill:#1a1a2e,stroke:#9c27b0,stroke-width:2px,color:#fff
style Bus fill:#1a1a2e,stroke:#00bfa5,stroke-width:2px,color:#fff style Security fill:#1a1a2e,stroke:#ff9800,stroke-width:2px,color:#fff
style Bus fill:#1a1a2e,stroke:#607d8b,stroke-width:2px,color:#fff
``` ```
### Key Design Decisions ### Key Design Decisions
| Decision | Rationale | | Decision | Rationale |
|----------|-----------| |----------|-----------|
| **Vendored Fantasy SDK** | `charm.land/fantasy` vendored into `internal/fantasy/` via `go.mod` replace directive. Enables direct modification for streaming hooks, tool call repair, and progressive disclosure without waiting on upstream releases. | | **Isolated Tool Runtime** | All tool calls route through a `SecureBus` that enforces capability manifests, injects secrets, scans output for leaks, and writes audit logs. The LLM never sees raw secrets. See [ADR-001](docs/adr/001-isolated-tool-runtime.md). |
| **MemGPT 3-tier memory** | Working context (hot), recall items (warm, session-scoped), archival chunks (cold, embedded + indexed). Mirrors the MemGPT paper's approach to bounded-context memory management. | | **DAG executor** | LLMCompiler-style parallel tool dispatch. The planner builds a dependency DAG in a single inference pass; the executor dispatches independent nodes concurrently. Joiner synthesizes results. Replanning on failure. Falls back to ReAct for simple single-tool cases. |
| **Progressive tool disclosure** | Agent sees only `tool_search` and `tool_call` meta-tools. Discovers actual tools on demand via fuzzy search. Cuts system prompt tokens dramatically for large tool registries. | | **Vendored Fantasy SDK** | `charm.land/fantasy` vendored into `internal/fantasy/` via `go.mod` replace directive. Enables direct modification for streaming hooks, tool call repair, and progressive disclosure. |
| **MemGPT + Observational Memory** | Working context (hot), recall items (warm), archival chunks (cold, embedded + indexed), plus observational memory (compressed conversation history with priority-tagged observations and temporal reasoning). DAG-based context budget compression manages token allocation across tiers. |
| **Progressive tool disclosure** | Agent sees only `tool_search` and `tool_call` meta-tools. Discovers actual tools on demand via fuzzy search. Cuts system prompt tokens for large registries. |
| **libSQL over modernc/sqlite** | Native F32_BLOB for vector storage, `libsql_vector_idx` for ANN search, FTS5 for full-text. Single database, no external vector DB dependency. | | **libSQL over modernc/sqlite** | Native F32_BLOB for vector storage, `libsql_vector_idx` for ANN search, FTS5 for full-text. Single database, no external vector DB dependency. |
| **BLOB primary keys** | 16-byte UUIDv7 stored as BLOB, not 36-byte TEXT. More compact, byte-comparable, monotonically sortable by creation time. | | **BLOB primary keys** | 16-byte UUIDv7 stored as BLOB. Compact, byte-comparable, monotonically sortable by creation time. |
| **sqlc for type-safe queries** | Generated Go code from SQL. Hand-written SQL only where sqlc can't parse (FTS5 MATCH, vector_top_k). Prepared statement cache for the hand-written queries. | | **XChaCha20-Poly1305 vault** | Secrets encrypted at rest with AES-256-GCM or XChaCha20-Poly1305. Master key from OS keyring, env var, or file. Schnorr ZKP for daemon-mode authentication. |
| **Deleted legacy providers** | Removed all hand-rolled `pkg/providers/` LLM implementations. Fantasy SDK handles provider routing, streaming, retry, and error normalization. | | **Goose migrations** | Schema managed by `pressly/goose/v3`. 10 versioned migrations covering core schema, FTS5, vector indexes, KV store, documents, audit log, conversations, runtime state, jobs, and conversation graphs. |
| **FlatBuffers command protocol** | Zero-copy serialized `ToolRequest`/`ToolResponse` for the ITR command vocabulary. Same binary format across in-process channels, Unix sockets (daemon mode), and wazero WASM host calls. |
## What Changed From Upstream
### Added
- `internal/fantasy/` — Vendored Charmbracelet Fantasy SDK (v0.8.1)
- `pkg/fantasy/` — Fantasy adapter layer (converts between PicoClaw and Fantasy types)
- `pkg/memory/` — Full MemGPT memory system (delegate, store, retrieval, chunker, scorer, queue)
- `pkg/cache/` — Generic LRU+TTL cache with stale-while-revalidate and tag invalidation
- `pkg/messages/` — Canonical message types (replaces duplicated type definitions)
- `pkg/ids/` — UUIDv7 generation + BLOB codec
- `pkg/tools/call.go` — `tool_call` meta-tool for progressive disclosure
- `pkg/tools/search.go` — `tool_search` meta-tool with fuzzy matching
- `pkg/memory/delegate/` — libSQL delegate with FTS5, vector search, capability detection, statement cache
### Removed
- Legacy LLM provider implementations (OpenAI, Anthropic, Gemini, DeepSeek, Groq, Zhipu, OpenRouter hand-rolled HTTP clients)
- Duplicated type definitions between `pkg/providers/` and `pkg/tools/`
### Modified
- Agent loop now initializes memory, builds context with working memory, offloads large tool results to archival
- Session manager uses LRU cache with disk-backed eviction
- Tool registry supports progressive disclosure mode
- Config system extended for memory, progressive disclosure, embedding settings
## Project Layout ## Project Layout
``` ```
cmd/picoclaw/ # CLI entrypoint (agent, gateway, onboard, status, cron) cmd/picoclaw/ # CLI entrypoint
internal/fantasy/ # Vendored charm.land/fantasy SDK internal/fantasy/ # Vendored charm.land/fantasy SDK
docs/adr/ # Architecture Decision Records
eval/ # Promptfoo-based evaluation harness
pkg/ pkg/
├── agent/ # Agent loop, context builder, memory integration ├── agent/ # Agent loop, ReAct FSM, context builder
│ ├── conversations/ # Conversation store (multi-turn tracking)
│ ├── mentions/ # Mention tracking
│ └── threads/ # Thread store
├── auth/ # OAuth2 + PKCE for provider auth ├── auth/ # OAuth2 + PKCE for provider auth
├── bus/ # Hub-and-spoke message bus ├── bus/ # Hub-and-spoke message bus
├── cache/ # Generic LRU+TTL cache ├── cache/ # Generic LRU+TTL cache (SWR, tag invalidation)
├── channels/ # Telegram, Discord, Slack, LINE, DingTalk, QQ, WeChat, MaixCAM ├── channels/ # Telegram, Discord, Slack, LINE, DingTalk, QQ, MaixCAM
├── config/ # JSON config with env var overrides ├── config/ # JSON config with env var overrides, XDG paths
├── constants/ # Channel name constants
├── cron/ # Cron scheduler (gronx-based) ├── cron/ # Cron scheduler (gronx-based)
├── devices/ # Hardware device hotplug (USB on Linux) ├── devices/ # Hardware device hotplug (USB on Linux)
├── errors/ # Shared error types
├── fantasy/ # Fantasy SDK adapter (provider factory, type conversion) ├── fantasy/ # Fantasy SDK adapter (provider factory, type conversion)
├── health/ # HTTP health/readiness endpoints
├── heartbeat/ # Periodic task execution ├── heartbeat/ # Periodic task execution
├── ids/ # UUIDv7 generation + BLOB codec ├── ids/ # UUIDv7 generation + BLOB codec
├── itr/ # Isolated Tool Runtime
│ ├── dag/ # DAG executor, planner, resolver, router, replanner
│ ├── itrfb/ # FlatBuffers generated code (command protocol)
│ └── wasm/ # wazero WASM isolate runtime + transport
├── logger/ # Structured logger ├── logger/ # Structured logger
├── memory/ # MemGPT memory system ├── memory/ # Memory system
│ ├── dag/ # DAG-based context budget compression
│ ├── delegate/ # libSQL storage backend (FTS5, vector, capabilities) │ ├── delegate/ # libSQL storage backend (FTS5, vector, capabilities)
│ ├── migrations/ # Goose versioned schema migrations (001–010)
│ ├── observation/ # Observational memory (observer, reflector, store)
│ ├── sqlc/ # sqlc config + generated code │ ├── sqlc/ # sqlc config + generated code
│ └── store/ # MemoryStore, retrieval, chunking, scoring, queuing │ └── store/ # MemoryStore, retrieval, chunking, scoring, queuing
├── messages/ # Canonical message/tool-call types ├── messages/ # Canonical message/tool-call types
├── migrate/ # Config + workspace migration ├── pcerrors/ # Structured error types
├── providers/ # Legacy provider types (kept for interface compatibility) ├── rlm/ # Recursive Language Model engine (rope, fanout, strategy)
├── security/ # Vault, SecretStore, Redactor, URL guard, Schnorr ZKP
│ └── securebus/ # SecureBus (policy, audit, transport, socket transport)
├── session/ # Session manager with LRU disk-backed cache ├── session/ # Session manager with LRU disk-backed cache
├── skills/ # Skill loader + installer ├── skills/ # Skill loader, installer, dependency graph, templates
├── state/ # Persistent state (last channel, etc.) ├── tools/ # Tool registry, meta-tools, built-in tools, CapableTool
├── tools/ # Tool registry, meta-tools, built-in tools ├── voice/ # Groq Whisper voice transcription
├── utils/ # Media + string helpers └── worker/ # Background job worker
└── voice/ # Groq Whisper voice transcription
skills/ # Built-in skills (weather, tmux, summarize, github, hardware) skills/ # Built-in skills (weather, tmux, summarize, github, hardware)
config/ # Example configuration files config/ # Example configuration files
``` ```
@ -152,21 +181,24 @@ config/ # Example configuration files
### Build from source ### Build from source
> [!IMPORTANT]
> Requires `CGO_ENABLED=1` — the go-libsql driver links against glibc.
```bash ```bash
git clone https://github.com/ZanzyTHEbar/picoclaw.git git clone https://github.com/ZanzyTHEbar/picoclaw.git
cd picoclaw cd picoclaw
make build make build
``` ```
> [!NOTE] Requires `CGO_ENABLED=1` — the go-libsql driver ships pre-compiled C binaries linked against glibc.
### Configure ### Configure
```bash ```bash
# Initialize config and workspace
./bin/picoclaw onboard ./bin/picoclaw onboard
``` ```
The onboard wizard initializes config, workspace, and optionally sets up encrypted secret storage.
Edit `~/.picoclaw/config.json`: Edit `~/.picoclaw/config.json`:
```json ```json
@ -211,12 +243,40 @@ picoclaw gateway
```bash ```bash
cp config/config.example.json config/config.json cp config/config.example.json config/config.json
# Edit config.json with your API keys
docker compose --profile gateway up -d docker compose --profile gateway up -d
docker compose logs -f picoclaw-gateway docker compose logs -f picoclaw-gateway
``` ```
## Secret Management
PicoClaw encrypts secrets at rest with XChaCha20-Poly1305. The master key is sourced from an environment variable, OS keyring, or file.
```bash
picoclaw secret init # Generate a master key
picoclaw secret add <name> # Store a secret (interactive prompt)
picoclaw secret list # List secret names
picoclaw secret delete <name> # Remove a secret
```
> [!WARNING]
> This is a security-sensitive operation. The master key is used to encrypt and decrypt secrets. If you lose it, you will not be able to decrypt secrets.
> You should should NEVER store the master key in a file or environment variable if possible.
Set the master key: `export PICOCLAW_MASTER_KEY=<hex>`
Tools declare which secrets they need via `CapableTool.Capabilities()`. The SecureBus injects secrets into tool execution context at runtime — the LLM never sees them. Tool output is scanned for leaked patterns before it reaches the agent loop.
## Daemon Mode
For non-embedded deployments, the SecureBus can run in a separate privileged daemon process. The agent connects as an unprivileged client over a Unix domain socket.
```bash
picoclaw daemon start # Start daemon (foreground, Ctrl+C to stop)
picoclaw daemon status # Check if running
picoclaw daemon stop # Stop a running daemon
```
## LLM Providers ## LLM Providers
The Fantasy SDK handles provider routing. Configure any supported provider: The Fantasy SDK handles provider routing. Configure any supported provider:
@ -242,8 +302,6 @@ API key links: [OpenRouter](https://openrouter.ai/keys) · [Anthropic](https://c
| LINE | Medium — credentials + webhook URL | | LINE | Medium — credentials + webhook URL |
| Slack | Medium — app credentials + event subscriptions | | Slack | Medium — app credentials + event subscriptions |
See the channel configuration sections below for setup details.
<details> <details>
<summary><b>Telegram</b></summary> <summary><b>Telegram</b></summary>
@ -362,63 +420,58 @@ See the channel configuration sections below for setup details.
## Memory System ## Memory System
PicoClaw implements a 3-tier MemGPT-inspired memory system: PicoClaw implements a multi-tier memory system combining MemGPT-style tiered storage with observational memory compression:
| Tier | Purpose | Storage | Search | | Tier | Purpose | Storage | Search |
|------|---------|---------|--------| |------|---------|---------|--------|
| **Working Context** | Current focus, active goals | Single JSON document per agent | Direct load | | **Working Context** | Current focus, active goals | Single JSON document per agent | Direct load |
| **Recall Memory** | Session-scoped conversation items | Rows with metadata + timestamps | FTS5 + BM25 | | **Recall Memory** | Session-scoped conversation items | Rows with metadata + timestamps | FTS5 + BM25 |
| **Archival Memory** | Long-term knowledge, chunked + embedded | F32_BLOB embeddings + FTS5 index | Vector ANN + FTS5 fusion (RRF) | | **Archival Memory** | Long-term knowledge, chunked + embedded | F32_BLOB embeddings + FTS5 index | Vector ANN + FTS5 fusion (RRF) |
| **Observational Memory** | Compressed conversation history | Priority-tagged observations with 3-date model | Prefix-cacheable block |
| **DAG Compression** | Hierarchical context summaries | Tree nodes with lossless pointers to originals | Budget-allocated traversal |
The agent interacts with memory through a unified `memory` tool that supports search, read, write, update, delete, and status operations. Large tool results are automatically offloaded to archival memory. The agent interacts with memory through a unified `memory` tool. Large tool results are automatically offloaded to archival memory. Retrieval uses Reciprocal Rank Fusion (RRF) to combine vector similarity and full-text relevance, with recency decay and metadata pre-filtering.
Retrieval uses Reciprocal Rank Fusion (RRF) to combine vector similarity and full-text relevance, with recency decay and metadata pre-filtering. Schema is managed by Goose with 10 versioned migrations.
## Scheduled Tasks
PicoClaw supports cron-based scheduling and heartbeat-driven periodic tasks:
```bash
picoclaw cron list # List scheduled jobs
picoclaw cron add ... # Add a scheduled job
```
The heartbeat system reads `~/.picoclaw/workspace/HEARTBEAT.md` every 30 minutes (configurable) and executes listed tasks. Long-running tasks can be delegated to subagents via the `spawn` tool.
## CLI Reference ## CLI Reference
| Command | Description | | Command | Description |
|---------|-------------| |---------|-------------|
| `picoclaw onboard` | Initialize config and workspace | | `picoclaw onboard` | Initialize config, workspace, and secret storage |
| `picoclaw agent -m "..."` | One-shot chat | | `picoclaw agent -m "..."` | One-shot chat |
| `picoclaw agent` | Interactive REPL | | `picoclaw agent` | Interactive REPL |
| `picoclaw gateway` | Start message bus gateway | | `picoclaw gateway` | Start message bus gateway |
| `picoclaw status` | Show system status | | `picoclaw status` | Show system status (incl. memory) |
| `picoclaw memory` | Memory system management |
| `picoclaw secret <sub>` | Secret management (init, add, list, delete) |
| `picoclaw daemon <sub>` | Daemon management (start, stop, status) |
| `picoclaw cron list` | List scheduled jobs | | `picoclaw cron list` | List scheduled jobs |
| `picoclaw cron add ...` | Add a scheduled job | | `picoclaw cron add ...` | Add a scheduled job |
| `picoclaw skills <sub>` | Skill management (install, list, remove) |
## Security Sandbox ## Security
The agent runs in a sandboxed environment by default. File and command access is restricted to the configured workspace (`~/.picoclaw/workspace`). ### Workspace Sandbox
| Setting | Default | Description | File and command access is restricted to the configured workspace by default. The `exec` tool blocks dangerous commands regardless of sandbox setting.
|---------|---------|-------------|
| `restrict_to_workspace` | `true` | Restrict all file/exec operations to workspace |
The `exec` tool blocks dangerous commands (bulk deletion, disk formatting, fork bombs, shutdown) regardless of sandbox setting.
To disable workspace restriction:
```json ```json
{ "agents": { "defaults": { "restrict_to_workspace": false } } } { "agents": { "defaults": { "restrict_to_workspace": false } } }
``` ```
Or: `export PICOCLAW_AGENTS_DEFAULTS_RESTRICT_TO_WORKSPACE=false` ### Isolated Tool Runtime (ITR)
The SecureBus mediates all tool execution. Tools declare capabilities via the `CapableTool` interface — secrets needed, network endpoints, filesystem paths, shell access level. Tools that don't implement it get zero capabilities.
The pipeline: capability check → secret injection → tool execution → leak scanning → audit log.
See [ADR-001](docs/adr/001-isolated-tool-runtime.md) for the full design including DAG executor convergence, RLM integration, and the FlatBuffers command protocol.
## Development ## Development
```bash ```bash
make build # Build for current platform make build # Build for current platform (output: bin/)
make build-all # Cross-compile (linux/amd64, linux/arm64, linux/riscv64, darwin/arm64, windows/amd64) make build-all # Cross-compile (linux/amd64, linux/arm64, linux/riscv64, darwin/arm64, windows/amd64)
make install # Install to ~/.local/bin + copy skills make install # Install to ~/.local/bin + copy skills
make fmt # go fmt ./... make fmt # go fmt ./...
@ -434,19 +487,36 @@ Memory queries are generated by sqlc. After modifying SQL files:
cd pkg/memory/sqlc && sqlc generate cd pkg/memory/sqlc && sqlc generate
``` ```
CI enforces that generated code matches: `sqlc generate` + `git diff --exit-code`.
### Migrations
Schema changes go through Goose migrations in `pkg/memory/migrations/`. Migrations run automatically on startup.
### Evaluation
A promptfoo-based evaluation harness lives in `eval/`:
```bash
cd eval && go run ./cmd/eval-runner
```
### Syncing Upstream ### Syncing Upstream
```bash ```bash
git remote add upstream git@github.com:sipeed/picoclaw.git
git fetch upstream git fetch upstream
git merge upstream/main git merge upstream/main
``` ```
See `internal/fantasy/VENDORING.md` for syncing the vendored Fantasy SDK. See `internal/fantasy/VENDORING.md` for syncing the vendored Fantasy SDK.
## Roadmap
See [ROADMAP.md](ROADMAP.md) for the full project roadmap covering context management, skill graphs, agentic retrieval, delegation protocol, and multi-agent coordination.
## Upstream ## Upstream
This is a fork of [sipeed/picoclaw](https://github.com/sipeed/picoclaw), originally inspired by [nanobot](https://github.com/HKUDS/nanobot). The upstream project targets $10 RISC-V hardware with <10MB RAM — a constraint this fork tries to respect while extending the agent's cognitive architecture. This is a fork of [sipeed/picoclaw](https://github.com/sipeed/picoclaw), originally inspired by [nanobot](https://github.com/HKUDS/nanobot). The upstream project targets $10 RISC-V hardware with <10MB RAM — a constraint this fork respects while extending the agent's cognitive and security architecture.
## License ## License

8
ROADMAP.md
View file

@ -239,3 +239,11 @@ flowchart LR
- [ ] Layer 3: SecretStore + keyring-based secret management - [ ] Layer 3: SecretStore + keyring-based secret management
- [ ] Layer 4: Daemon mode + Schnorr ZKP authentication - [ ] Layer 4: Daemon mode + Schnorr ZKP authentication
- [ ] Layer 5: wazero WASM isolates (pure Go, no CGO), `CodeExec` command variant - [ ] Layer 5: wazero WASM isolates (pure Go, no CGO), `CodeExec` command variant
- [ ] Plug-in tool support: `pkg/tools/registry.go` — add `Search(query) []ToolInfo` for ToolSearch
- [ ] Allow tools to be built as Go plugins
- [ ] Allow tools to be built as WASM modules
- [ ] Load tools from the filesystem or network
- [ ] Tool discovery: `ToolSearch` command variant
- [ ] Dynamic tool registration: `RegisterTool(Tool)` function
- [ ] Event-based tool discovery: tool registration triggers `ToolDiscovery` event
- [ ] Tools have a manifest: `ToolInfo` struct with name, description, capabilities, metadata